Abstract
In overcoming the shortcomings of the classical control charts in a short runs production, Quesenberry (1991 & 1995a – d) proposed Q charts for attributes and variables data. An approach to enhance the performance of a variable Q chart based on individual measurements using a robust estimator of scale is proposed. Monte carlo simulations are conducted to show that the proposed robust Q chart is superior to the present Q chart.
DOI
10.22237/jmasm/1083370140
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons
